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Get token price change over duration

fuse_trade_price_change_over_duration

Returns a token's price change over a custom day-count window ({ priceChange, currentPrice, previousPrice }).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysYesNumber of days to look back when computing the price change.
tokenAddressYesERC-20 contract address of the token.

TDQS

B3.2/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must disclose behavioral traits. It only mentions the return format but does not state that it is a read-only operation, any side effects, or prerequisites like network requirements. The description does not compensate for missing annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that front-loads the purpose and includes the return format. No unnecessary details; every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with two parameters and no output schema, the description is nearly complete. It could mention that days must be a positive integer (already in schema) but lacks potential error conditions. Overall adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents both parameters fully. The description adds the context of 'custom day-count window' but does not provide additional meaning beyond what the schema offers. Baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states it returns a token's price change over a custom day-count window. The verb 'returns' and resource 'token's price change' are specific. However, it does not explicitly differentiate from similar siblings like fuse_get_token_price_change, which may have a similar purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives like fuse_get_token_price_change or fuse_get_token_price_history. The description lacks any context about appropriate usage scenarios.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A3.7/5.0
Disambiguation5/5

All 50 tools have clearly distinct purposes, with descriptive names and descriptions that differentiate even similar concepts like token pricing (fuse_get_token_price, fuse_get_token_price_change, etc.). There is no ambiguity between tools.

Naming Consistency5/5

All tools follow a consistent 'fuse_verb_noun' pattern using snake_case, with groups like fuse_get_*, fuse_send_*, fuse_smart_*, and fuse_notification_*, making them predictable and easy to navigate.

Tool Count4/5

50 tools is on the higher side but appropriate given the breadth of Fuse Network operations (read/write, smart wallet, staking, trading, notifications, ENS, etc.). Each tool contributes to a well-scoped feature set without unnecessary redundancy.

Completeness4/5

The tool set covers a comprehensive range of blockchain interactions on Fuse, including balances, transfers, smart contracts, staking, trading, NFTs, notifications, and ENS. Minor gaps like governance or bridging exist but do not significantly impair common workflows.

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